ranking: Ranking

In HighestMedianRules: Implementation of Voting Rules Electing the Candidate with Highest Median Grade

Description

Returns a matrix with the scores of candidates sorted in decreasing order, for a given voting rule.

Usage

ranking(
  grades,
  rule = "mj",
  k = 0.5,
  scale = c(),
  names = row.names(grades),
  print = FALSE
)

Arguments

grades	A voting profile, i.e. a matrix with the shares of grades of each candidate on each row, from the lowest grade to the highest.
rule	The voting rule to be used. Default to 'mj'. Possible values: 'mj' (majority judgment), 'd' (difference), 's' (relative share), 'n' (normalized difference), 'mean' (range voting). For more details, see "Tie-Breaking the Highest Median", Fabre, Social Choice & Welfare (forthcoming).
k	The quantile used to compute the gauge. Default to 0.5 (the median). For more details, see paragraph Extensions in 3.2.1 of "Tie-Breaking the Highest Median", Fabre, Social Choice & Welfare (forthcoming).
scale	A numeric vector containing the values of the scale of grades. Default to c((floor(-length(grades)/2)+1):(length(grades)+floor(-length(grades)/2))).
names	String vector, each string to be printed in case print = TRUE. Defaults to c().
print	Prints the argument 'names'. Default to FALSE

Value

A character matrix with as many rows as elements of grades, and with the name, gauge and score (according to rule) on each row.

Examples

ranking(elec2012, rule='d', scale=-2:4)

HighestMedianRules documentation built on March 26, 2020, 7:28 p.m.